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1.

Objective

To compare and analyze three therapies on patients with primary central nervous system lymphoma (PCNSL), aiming to provide evidences for future treatment and prognosis.

Methods

Clinical data of 26 cases of PCNSL with normal immune system confirmed by postoperative pathology were retrospectively analyzed. Among them there were six cases with operation only, nine cases with operation and radiotherapy, and 11 cases with operation, radiotherapy and chemotherapy, and their survival rate was compared as well.

Results

The survival time of patients with operation only, operation combined with radiotherapy and operation combined with radiotherapy and chemotherapy was 6–11?months, 15–24?months and 24–51?months, respectively. And their median survival time was only nine months, 21?months and 38?months, respectively.

Conclusions

Operation combined with radiotherapy and chemotherapy can dramatically extend PCNSL patients’ survival time, therefore, it can be regarded as the first-line therapy.  相似文献   

2.
N. Sharma  M.H. Kolekar  K. Jha  Y. Kumar 《IRBM》2019,40(2):113-121

Objective

Recently, Electroencephalogram (EEG) shows potential in the diagnosis of Alzheimer's disease and other dementia. We aim to investigate whether EEG and selected cognitive biomarkers can classify mild cognitive impairment (MCI), dementia and healthy subjects using support vector machine classifier in Indian cohort.

Methods

Eight EEG biomarkers, power spectral density, skewness, kurtosis, spectral skewness, spectral kurtosis, spectral crest factor, spectral entropy (SE), fractal dimension (FD) were analyzed from 44 subjects in four conditions; eye-open, eye-close, finger tapping test (FTT) and continuous performance test (CPT). FFT and CPT are used to measure motor speed and sustained attention as these cognitive biomarkers are free from the educational barrier.

Results

We achieved very good accuracy for each event from 73.4% to 89.8% for three binary classes. We investigated that FTT (84% accuracy), CPT (88% accuracy) were the most efficient events to diagnose MCI from dementia. MCI from control successfully diagnosed with 89.8% accuracy in FTT, 73.4% accuracy in CPT and 84.1% accuracy in eye open resting state. Even though cognitive biomarkers were also adequately diagnosed MCI from other groups.

Conclusions

Our classifier findings are consistent with the utmost evidence. Yet, our results are promising and especially newfangled in the case of FTT and CPT from the prior studies. We developed an experimental protocol and proposed a novel technique to classify MCI with efficient biomarkers.  相似文献   

3.

Background

Epileptic seizures are unpredictable in nature and its quick detection is important for immediate treatment of patients. In last few decades researchers have proposed different algorithms for onset and offset detection of seizure using Electroencephalogram (EEG) signals.

Methods

In this paper, a combined approach for onset and offset detection is proposed using Triadic wavelet decomposition based features. Standard deviation, variance and higher order moments, extracted as significant features to represent different EEG activities.Classification between seizure and non-seizure EEG was carried out using linear discriminant analysis (LDA) and k-nearest neighbour (KNN) classifiers. The method was tested using two benchmark EEG datasets in the field of seizure detection.CHBMIT EEG dataset was used for evaluating the performance of proposed seizure onset and offset detection method.Further for testing the robustness of the algorithm, the effect of the signal-to-noise ratio on the detection accuracy has been also investigated using Bonn University EEG dataset.

Results

The seizure onset and offset detection method yielded classification accuracy, specificity and sensitivity of 99.45%, 99.62% and 98.36% respectively with 6.3 s onset and ?1.17 s offset latency using KNN classifier.The seizure detection method using Bonn University EEG dataset got classification accuracy of 92% when SNR = 5 dB, 94% when SNR = 10 dB, and 96% when SNR = 20 dB, while it also yielded 96% accuracy for noiseless EEG.

Conclusion

The present study focuses on detection of seizure onset and offset rather than only seizure detection. The major contribution of this work is that the novel triadic wavelet transform based method is developed for the analysis of EEG signals. The results show improvement over other existing dyadic wavelet based Triadic techniques.  相似文献   

4.

Objective

The current study proposes an automated machine learning approach for the quantification of cells in cell death pathways according to DNA fragmentation.

Methods

A total of 17 images of kidney histological slide samples from male Wistar rats were used. The slides were photographed using an Axio Zeiss Vert.A1 microscope with a 40x objective lens coupled with an Axio Cam MRC Zeiss camera and Zen 2012 software. The images were analyzed using CellProfiler (version 2.1.1) and CellProfiler Analyst open-source software.

Results

Out of the 10,378 objects, 4970 (47,9%) were identified as TUNEL positive, and 5408 (52,1%) were identified as TUNEL negative. On average, the sensitivity and specificity values of the machine learning approach were 0.80 and 0.77, respectively.

Conclusion

Image cytometry provides a quantitative analytical alternative to the more traditional qualitative methods more commonly used in studies.  相似文献   

5.

Purpose

Explore the effect of Baihe Dihuang powder on chronic stress depression rat models.

Methods

Chronic stress depression rat models were established with different stimuli for 21?days. At the same time, the drug was administered for 21 consecutive days. The animals were weighed once a week after the start of the formal experiment. On the second day after the end of drug administration, conduct sugar water consumption test and open-filed box experiment, and conduct behavioral observation; At the end of behavioral testing, blood was taken from the eyeball and plasma was separated to measure MDA level and erythrocyte SOD activity; Take brain for homogenate, then measure the contents of 5-HT, NE and DA in brain tissue homogenate; Take the thymus and spleen, stained with 10% formalin fixation, embedding and HE staining, then use microscope to observe the histopathological changes.

Results

Chronic stress depression rats model replicated successfully. Each group of given drugs could increase the weight, the consumption of sugar water, and improve the behavioral score, increase erythrocytes SOD activity and decrease MDA level of plasma, increase the content of 5-HT, NE and DA of brain homogenate, and improve the pathological changes of thymus and spleen of chronic stress depression model animals.

Conclusion

Chronic stress depression rat model replicates successfully. Baihe Dihuang powder can interfere chronic stress depression rats model through different action pathways.  相似文献   

6.

Objective

Observe anti-inflammatory effect and the effect on acute pharyngitis rats model induced by ammonia water of compound Lobelia oral liquid, providing experimental basis for its clinical use.

Methods

Use egg white establish foot swelling rats model and use carboxymethyl cellulose establish white blood cell migration rats model. Then observe the anti-inflammatory effect of compound Lobelia oral liquid. Use 15% ammonia spray at pharyngeal establish acute pharyngitis rats model, Visual observation and conduct grading of pharyngeal tissue stimulation in rats, measure the levels of TNF-α and IL-6 in serum. Pharyngeal tissue was taken to observe the morphological changes.

Result

All dose groups of compound Lobelia oral liquid can reduce the rate of foot swelling of rats at all time points (P?<?0.01 or P?<?0.05), and significantly reduce the number of white blood cells of rats (P?<?0.01); And improve the local hyperemia degree, reduce secretion, reduce local swelling of pharyngeal tissue, reduce the serum TNF-α and IL-6 levels of acute pharyngitis rats with different degrees (P?<?0.01 or P?<?0.05).

Conclusion

Compound Lobelia oral liquid has a good anti-inflammatory effect on foot swelling and white blood cell migration rats model, as well as significant improvement effect on acute pharyngitis rats model.  相似文献   

7.

Background

We evaluated the effect of 45 days of rosuvastatin or pravastatin treatment on the distribution of HDL subfractions in HIV-1-infected individuals receiving boosted protease inhibitors (PIs) with cardiovascular risk.

Methods

The distribution of HDL subclasses by gradient gel electrophoresis was blindly assessed in 74 HIV-1-infected individuals receiving boosted PIs at baseline and at day 45 of statin treatment, and compared with the distribution obtained in 63 healthy normolipidemic individuals taken as controls.

Results

No significant modification appeared in HDL distribution between the two arms of statins for the HIV-1-infected individuals. Nevertheless, when compared to controls, HDL subfractions showed a significantly lower HDL2b proportion and significantly higher proportions of HDL2a and HDL3b (P < 0.001).

Conclusion

No difference was observed in HDL distribution between pravastatin and rosuvastatin after 45 days treatment, in HIV-1-infected individuals under PIs. Nevertheless, when compared to healthy normolipidemic subjects, HDL distribution is clearly different, with a distribution in HIV-infected individuals under PIs associated with an increased cardiovascular risk.  相似文献   

8.

Background

The glycerophospholipids, synthesised from diacylglycerol (DAG), are one of the main lipid components of cell membranes. The lipid profile is an optimised feature associated with animal longevity. In this context, the hypothesis is presented that the DAG biosynthesis rate, and thus, the glycerophospholipids content, is related to animal longevity.

Material and methods

A plasma lipidomic analysis was performed based on the mass spectrometry of 11 mammalian species with a maximum longevity ranging from 3.5 to 120 years. Lipid identification was based on exact mass, retention time, and isotopic distribution. ANOVA test was applied to differentiate the lipids between animal species. The relationship between these lipids and longevity was carried out with a Spearman correlation. Data was analysed using SPSS and MetaboAnalyst.

Results

Among the 1,061 different lipid molecular species found between species, 47 were defined as DAG. Interestingly, 14 of them showed a negative correlation with mammalian maximum longevity. Multivariate statistics revealed that 14 DAGs were enough to define mammalian species and their maximum longevity.

Conclusions

Data suggest that long-lived mammalian species have a lower rate of glycerophospholipids synthesis through the de novo pathway, possibly associated with a lower rate of membrane lipid exchange, which in turn is related to lower energy expenditure.  相似文献   

9.

Introduction

The fear of falling has a high prevalence in the community, and intervention programs for this condition are scarce, making it is necessary to strengthen this type of therapy in order to prevent adverse consequences in the elderly population.

Objective

To establish the effectiveness of three intervention programs in reducing the fear of falling and increasing functionality in elderly people in the city of Manizales.

Participants and methods

A randomised trial was conducted on ambulatory elderly patients with fear of falling and functional limitation of the city of Manizales. A total of 125 individuals were randomised to one of three interventions: Tai Chi (TCh), cognitive behavioural therapy (CBT), and postural control (CP) exercises. The primary outcomes were: fear of falling (evaluated by the Falls Efficacy Scale [FES-I]), and functionality using the Short Physical Performance Battery (SPPB). The data was collected before initiating the interventions and after the 8 weeks intervention.

Results

An intention-to-treat analysis was conducted on 119 elderly patients. The three interventions reduced the fear of falling and increased physical performance, with no significant differences observed between them (P = .13). As regards gait speed, differences were only found between the pre- and post-intervention with CP (P < .001).

Conclusions

The results suggest that the TCh, CBT and CP interventions helped the elderly to reduce their fear of falling. Only CP demonstrated an improvement in the speed of walking at the end of the eight weeks of intervention (identifier NCT03211429).  相似文献   

10.
11.

Background

Epilepsy is a neurological disorder that affects over 2% of the world population. Epilepsy patients suffer from recurring seizures that can be very harmful. The unpredictability of seizures is a major concern for medical practitioners because uncontrollable seizures can lead to sudden death and morbidity. A system that could warn patients and doctors alike about the impending seizure event would dramatically enhance the quality of life for patients.

Methods

While most previous research works focused on using signal processing tools appropriate for stationary signals, we propose here to use time and frequency (TF) analysis to extract features capable of discriminating normal from abnormal EEG traces (both ictal and interictal). The features are extracted using Singular Value Decomposition (SVD) of the EEG signal Time Frequency matrix. The left singular vectors of the time frequency matrix are used to obtain robust feature vectors. In contrast to existing techniques, the proposed TF-based technique can be used to detect the specific moments of seizure occurrences in time so that this information is used to discriminate interictal from ictal EEG traces. Instead of extracting the features directly from the TF matrix, we transform the left eigenvectors obtained from the SVD of the TF matrix into a feature vector that behaves like to a probability density function.

Results

We show that almost all classical classification techniques achieve excellent seizure detection results when used with the proposed TF features, irrespective of the classifier used. Contrary to existing works, we test our approach across several real-life scenarios covering 2, 3, and 5 possible classes of data. Our tests provided consistent results across different scenarios. The results, under different scenarios, outperformed existing ones achieving consistently more than 97.3% and up to 99.5% in terms of accuracy, sensitivity, and specificity.

Conclusion

Experimental results show that the novel features have successfully represented the characteristics of the underlying disease phenomenon from EEG data. Also, we conclude that learning based classifiers are better suited for this application, compared to Bayesian classifiers that have difficulty in adapting to the varying nature of the features' probability distribution function.  相似文献   

12.

Objective

A new method was presented to prepare clinical-grade human adipose-derived stromal stem cells (ASCs) and its safety in vitro, such as biological characteristics and genetic features alteration were investigated.

Methods

The morphology of the ASCs which were cultured in vitro using serum-free medium was observed. Cell cycle and CD markers profile were tested by flow cytometry, while karyotype was analyzed by the chromosome G-banding technology. Growth factors expression was tested by ELISA and tumor-related genes were analyzed by the real-time PCR, respectively.

Results

ASCs were adult stem cells with spindle shape. The proliferation ratio of ASCs began to slow down after 10 passages, and was significant after 15 passages. Cell cycle analysis revealed that the percentage of G2 phase and S phase cells was stable. There was no obvious missing, translocation or dislocation in terms of karyotype. Expression level of tumor relevant genes and cytokines at different passages had no significant difference.

Conclusions

The clinical-grade ASCs prepared with this new method, less than ten passages, was safe for clinical trials.  相似文献   

13.

Background

The incidence of systemic infections by Saccharomyces cerevisiae has increased in recent years, especially among immunocompromised patients. Amphotericin B, voriconazole or echinocandins have been used with favorable outcome against systemic infections by this fungus. However, clinical experience is limited and no in vivo studies have been conducted.

Aims

We evaluated the in vitro activity of nine antifungal compounds against S. cerevisiae and the in vivo efficacy of those three antifungals showing the highest in vitro activity by using a murine model of systemic infection.

Methods

Minimal inhibitory concentrations (MICs) were determined by the microdilution method against three strains of S. cerevisiae. After intravenous infection with 5 × 107 CFUs, animals received liposomal amphotericin B (5 mg/kg), voriconazole (25 mg/kg) or anidulafungin (5 mg/kg). Treatment efficacy was assessed by determining of CFUs/g in liver, kidney, brain, lung and spleen.

Results

5-Fluorocytosine was the most in vitro active compound followed by amphotericin B, voriconazole and anidulafungin. The in vivo study showed that liposomal amphotericin B was the most effective drug driving highest fungal clearance.

Conclusions

All treatments reduced the fungal load in comparison to the control group, being liposomal amphotericin B the most effective drug followed by anidulafungin and finally voriconazole.  相似文献   

14.

Background

Pain is an unpleasant sensory and emotional experience followed by anxiety, depression, and frustration. Functional Near-Infrared Spectroscopy (fNIRS) as an optical technique identifies the brain functional networks by investigating connectivity between functionally linked of different anatomical regions in response to pain stimulation.

Methods

In this research, fNIRS was performed in order to study the difference in effective functional connectivity of the brain prefrontal cortex between the two modes of pain and rest based on the dynamic causal modeling (DCM) method. Effective functional connectivity changes in the prefrontal cortex between pain and rest states were calculated using DCM approach to investigate (1) areas known for pain sensation and (2) to analyze inter-network functional connectivity strength (FCS) by selecting several brain functional networks based on the analysis findings. All analyses were performed using toolboxes SPM-fNIRS and SPM8, Matlab software.

Results

Regional hemodynamics changes caused deoxyhemoglobin concentration to decrease in the prefrontal cortex of both hemispheres, particularly on the right side. We found a simultaneous increase in the concentration of oxyhemoglobin in the prefrontal cortex of the left hemisphere in comparison to the right hemisphere, that there was a trend toward reduction in oxyhemoglobin concentration. The results indicate that during the cold pain stimulation, the connectivities between prefrontal cortex regions were significantly changed. Specifically, a significantly consistent increase in the RPFC to MPFC connectivity was found while a significant consistent decrease was observed in the both MPFC to LPFC and LPFC to MPFC connectivities.

Conclusion

This study contributes to the pain research field to identify the directionality and causality of neuronal connections in the prefrontal cortex by applying DCM to fNIRS data. The results suggest that the proposed method infers directional interactions between hidden neuronal states in the brain under neuronal dynamic conditions based on optical density changes measurement.  相似文献   

15.

Background

Dedicated devices like GT3X+, Actical or ActivPal have been widely used to measure physical activity (PA) levels by using cut-points on activity counts. However, the calculation of activity counts relies on proprietary software. Since smartphones incorporate accelerometers they are suitable candidates to determine PA levels in a wider population.

Objective

Our aim was to compare several algorithms so that smartphones can reproduce the results obtained with GT3X+. The influence of smartphone location was also investigated.

Methods

Volunteers participated in the experiment performing several activities carrying two smartphones (hip and pocket) and one GT3X+ (hip). Four algorithms (A1–A4) were considered to obtain GT3X+ counts from smartphone accelerometer signals. A1 was based on a traditional filtering on temporal domain and a posterior calculation of the area under the curve. A2 was based on computing histograms of acceleration values, which were used as independent variables in a standard linear regression procedure. A3 also used a linear regression, but in this case the independent variables were power spectrum bands, leading to a kind of filtering in the frequency domain. A4 was based on a direct measure of area under the rectified curve of the raw accelerometer signal. Performance was measured in terms of raw activity counts or the corresponding PA level classification. The influence of the algorithm was tested with a Quade test. Multiple comparisons were performed with Wilcoxon test with Bonferroni's correction. Besides, battery consumption was also measured as a secondary parameter. The output of the selected algorithm was compared with GT3X+ counts using correlation (pearson and spearman) and agreement (Intra-Class Coefficient, ICC and Bland–Altmann plots for raw counts, and weighted kappa for activity levels). Several experimental conditions regarding smartphone location were compared with Wilcoxon tests.

Results

Thirty-two volunteers participated in the experiment. More refined algorithms based on filtering techniques did not prove to achieve better performance than A2 or A4. In terms of classification of PA level, A4 got the lowest error rate, although in some cases the differences with other algorithms were not statistically significant (p-value > 0.05). A4 is also the simplest and the one that implies less battery depletion. The comparison of A4 with GT3X+ gave good agreement (ICC=0.937) and correlation (spearman=0.927) for raw counts and good agreement when classifying four or two PA levels (weighted kappa=0.874 or 0.923 respectively). Besides, in real situations, activity classification into four levels was significantly improved (p-value<0.05) if data from several body locations were used to find model parameters.

Conclusions

Simple algorithms can reproduce the results of GT3X+. Thus, smartphones could be used to control the fulfillment of PA recommendations previously validated with cut-points. However, it must be acknowledged that accelerometers are not the gold standard to measure PA.  相似文献   

16.

Background

Along with an ageing population, a higher incidence of chronic diseases leads to increasingly complex health profiles. The relationship between survival, dependence, and social and demographic trends affecting caregiving, has led to an increase in the negative consequences associated with care provision. In this context, an assessment needs to be made on the impact that caregiving has on the well-being of the caregivers. The main aim of this article is to study the factors that determine the Quality of Life (QoL) of those who provide informal care to people suffering from Alzheimer's disease (AD).

Methods

A total of 175 caregivers of people with AD were recruited through the Galician Association for Relatives with Alzheimer. These caregivers completed a questionnaire (EQ-5D) that gathered sociodemographic and health variables, QoL, and care characteristics. Multiple regression models were calculated to explain the QoL of the caregivers.

Results

Of the five dimensions that the EQ-5D used to describe health, anxiety/depression was the one that concerned the largest percentage of caregivers who declared the highest levels of severity. The key variables for explaining QoL are those related to caregiver health status, periods of rest during caregiving, and the presence of a second caregiver.

Conclusions

Maintaining a minimal QoL among the caregivers not only has repercussions on the caregivers themselves, but also has an impact on those receiving care and the entire health system, which would have to find replacements for those informal caregivers.  相似文献   

17.

Background

Acute kidney injury (AKI) is a common clinical problem raising the urgent needs to develop new strategies for treatment. The present study investigated the therapeutic potential of human umbilical cord – mesenchymal stem cells (HUC-MSCs) transplantation against renal ischemia/reperfusion injury (IRI) in rats.

Methods

Twenty four male Wistar rats were assigned into two main groups, sham group (control group) and I/R group. I/R group was injected in the tail vein with either phosphate buffer saline (PBS) or HUC-MSCs.

Results

The HUC-MSCs improved kidney injury induced by I/R as demonstrated by enhancement of the kidney function via decreasing serum levels of creatinine, urea and uric acid. The therapeutic efficacy of HUC-MSCs were found to be mediated through anti-oxidant activity as indicated by significant reduction in total malondialdehyde (MDA) and significant increment in the levels of reduced glutathione (GSH), catalase (CAT) and glutathione-S-transferase (GST).

Conclusion

The present work suggests that HUC-MSCs may be an effective therapeutic agent against renal IRI. The recorded data showed improvement of renal functions and urine albumin in HUC-MSCs than IRI group with positive antioxidant efficacy of HUC-MSCs through scavenging free radicals and supporting the antioxidant enzymes.  相似文献   

18.

Background

Abnormal vision has been reported by 3% of patients treated with sildenafil citrate (Viagra). Although many men use Viagra for an extended period for treatment of erectile dysfunction, the implications of the long term-daily use of it on the retina and optic nerve are unclear.

Aim of the work

To investigate the effect of chronic daily use of sildenafil citrate in a dose equivalent to men preferred therapeutic dose on the histology of the retina and optic nerve of adult male rat.

Material & methods

Eighteen adult male Wistar rats were equally divided into three groups. Group I: control. Group II: treated with sildenafil citrate orally (10 mg/kg/day) for 8 weeks. Group III (withdrawal): treated as group II and then left for 4 weeks without treatment. Specimens from the retina and optic nerve were processed for light and electron microscopy.

Results

In sildenafil citrate treated group, the retina and optic nerve revealed vacuolations and congested blood capillaries with apoptotic endothelial and pericytic cells, and thickened basal lamina. Caspase-3 (apoptotic marker) and CD31 (endothelial marker) expression increased. Glial cells revealed morphological changes: Müller cells lost their processes, activated microglia, astrocytic clasmatodendrosis, degenerated oligodendrocytes surrounded by disintegrated myelin sheathes of the optic nerve fibers. The retina and optic nerve of the withdrawal group revealed less vacuolations and congestion, and partial recovery of the glial cells.

Conclusion

Chronic treatment with sildenafil citrate (Viagra) caused toxic effect on the structure of the retina and optic nerve of the rat. Partial recovery was observed after drug withdrawal.  相似文献   

19.

Background

Candida parapsilosis may acquire resistance to echinocandins, a fact that prompts the search for new therapeutic options.

Aims

The present study aimed to evaluate the in vitro activity of antifungal agents, alone and in combination, against four groups of C. parapsilosis strains: (1) echinocandin-susceptible (ES) clinical isolates (MIC ≤ 2 μg/ml), (2) anidulafungin-resistant strains (MIC ≥ 8 μg/ml), (3) caspofungin-resistant strains (MIC ≥ 8 μg/ml), and (4) micafungin-resistant strains (MIC ≥ 8 μg/ml).

Methods

Antifungal interactions were evaluated by a checkerboard micro-dilution method. The determination of the MIC to each drug for every isolate according to the Clinical and Laboratory Standards Institute documents M27 (2017) and M60 (2017) was also done.

Results

The echinocandins-resistant (ER) strains showed higher MICs to the tested antifungals than the ES strains, except for amphotericin B, for which the ER groups remained susceptible.

Conclusions

Most combinations showed indifferent interactions. The use of monotherapy still seems to be the best option. As resistance to echinocandins is an emergent phenomenon, further studies are required to provide clearer information on the susceptibility differences between strains to these antifungal agents.  相似文献   

20.

Background

Diabetes mellitus represents one of the disorders in the metabolism that affects all body systems including CNS. Cerebrolysin contains many neurotrophic factors, and many studies reported that it can be used treatment of many neurological disorders.

Aim of the work

The aim of the current study was to study the potential neuroprotective effect of cerebrolysin on the cerebellum of diabetic rat.

Materials and methods

Sprague Dawley male rats were divided randomly into four groups: control, cerebrolysin (Cbl), diabetes and diabetes treated with Cbl groups. Induction of diabetes was performed by intraperitoneal injection of 60 mg/kg streptozotocin once. Eight weeks later, the rats were anaesthetized, sacrificed and the cerebellum was removed. Cerebellum oxidative stress markers were analysis. Cerebellar tissue was subjected to histolopathological examination and immune-histological assessment of GFAP and Synaptophysin.

Results

As compared to the control group, diabetes caused degenerative changes in the cerebellum with significant elevation of MDA and decrease of SOD levels and gliosis confirmed by increase the GFAP expression area fraction. Diabetes increased significantly the optical density of synaptophysin expression with increase in its area fraction in the granular layer. Although Cbl treatment succeeded in minimizing the changes in the oxidative stress markers, it had no effect on pathological changes of the diabetic cerebellum. Cerebrolysin treatment of diabetic rats decreased the area fraction of GFAP positive immunoreactivity and had no effect on synaptophysin expression.

Conclusion

Cerebrolysin can potentially protect against diabetes induced changes in the cerebellum through minimizing the oxidative stress and improving the gliosis.  相似文献   

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