Acute effect of gibberellic acid on serum enzymes and blood markers in male albino rats

This study was designed to evaluate the influence of a phytohormone, gibberellic acid (GA3) on marker enzymes and biomarkers of serum, and blood hemoglobin and its blood cells counts of rat. In order to evaluate the positive/negative effects, the rats were administered 75μg, 150μg and 300μg of GA3/kg body weight as a single dose. GA3 treatments produced differential effects on the different parameters at dose dependent manner after 4 hours.The down regulation in specific activities of ALT, ALP, GGT and amylase were noted against the control with significant up regulation of AST activity. GA3 also produced dose dependent effect on biomarkers. There is a substantial reduction in the quantity of glucose, urea, creatinine, calcium, phosphorus, sodium and potassium was recorded against the control. On the other hand, the insignificant increase in content of total protein, albumin and uric acid was observed at all dose of GA3 treatment against the control. GA3 increased the RBC, WBC and neutrophil by decreasing the lymphocyte total numbers. Platelets, monocytes and oesinophils count were not altered by any dose of GA3.In conclusion, GA3 produced dose dependent effect on different parameters of rat blood serum.Keywords: phytohormone; gibberellic acid; creatinine; neutrophi

Antitumor and antioxidant potential of Tragia Plukenetii R.Smith on Ehrlich ascites carcinoma in mice

This investigation aims to evaluate the antitumour and antioxidant potential of the ethanol extract of Tragia Plukenetii R.Smith (ETP) on Ehrlich ascites carcinoma (EAC) tumor model. Tumor was inducedin mice by intraperitoneal injection of EAC cells (2x106 cells/mouse). Ethanol extract of T. Plukenetii (ETP) was administered to the experimental animals at the dose levels of 100, 200 and 300 mg/kg/day after 24 h of tumour inoculation. The antitumour effect of ETP was evaluated by assessing in vitro cytotoxicity, survival time, hematological and antioxidant parameters. Oral administration of ETPincreased the survival time of the EAC bearing mice. The ETP brought back the altered levels of the hematological and antioxidant parameters in a dose dependent manner in EAC bearing mice. The results were comparable to that of the result obtained from the animals treated with the standard drug 5-flurouracil (20 mg/kg.bw). Thus present study revealed that ETP possessed significant antitumor and antioxidant activity

Short term effect of 28-homobrassinolide on serum, liver and kidney marker enzymes and other biochemical parameters of male albino rats

Brassinosterols (BS) are ubiquitous pluripotent growth regulator present in plants. They exist in isoforms of epi and homobrassinolides (HB).  BS act as potent stimulators of root and shoot elongation, cell division, DNA and RNA polymerase activity, ethylene production and of stress tolerance to temperature, water scarcity and salinity in plants. It is also used to increase the yield of crop and to protect the plants against pesticides. Consumption of plant material as diet and used as growth regulator in animals, and application of BS in agriculture would increases its availability to the host tissues. In the present study, the effect of 28-HB, an isomer of brassinosterol on serum, liver and kidney marker enzymes, lipid peroxidation, tissue histology and the blood parameters of rat were investigated. The rats were given the compound by intradermal mode at the concentration of 75µg, 150µg and 300µg as single dose and the effects were observed after 4 hr to study the immediate response of the animal. The treatment of rats with 28-HB, caused different effects on the serum, liver and kidney parameters of this study. In conclusion, the present study showed that 28-HB affects the structure and function of rat tissues in a dose dependent manner.Keywords: Brassinosterols; homobrassinolides; 28-HB; lipid peroxidatio

Short term effect of 28-homobrassinolide on serum, liver and kidney marker enzymes and other biochemical parameters of male albino rats

Brassinosterols (BS) are ubiquitous pluripotent growth regulator present in plants. They exist in isoforms of epi and homobrassinolides (HB).  BS act as potent stimulators of root and shoot elongation, cell division, DNA and RNA polymerase activity, ethylene production and of stress tolerance to temperature, water scarcity and salinity in plants. It is also used to increase the yield of crop and to protect the plants against pesticides. Consumption of plant material as diet and used as growth regulator in animals, and application of BS in agriculture would increases its availability to the host tissues. In the present study, the effect of 28-HB, an isomer of brassinosterol on serum, liver and kidney marker enzymes, lipid peroxidation, tissue histology and the blood parameters of rat were investigated. The rats were given the compound by intradermal mode at the concentration of 75µg, 150µg and 300µg as single dose and the effects were observed after 4 hr to study the immediate response of the animal. The treatment of rats with 28-HB, caused different effects on the serum, liver and kidney parameters of this study. In conclusion, the present study showed that 28-HB affects the structure and function of rat tissues in a dose dependent manner.Keywords: Brassinosterols; homobrassinolides; 28-HB; lipid peroxidatio

Biochemical evaluation of low dose methyl 2-benzimidazole carbamate fungicide on male albino rats

Methyl 2-benzimidazole carbamate (carbendazim) is one of the synthetic fungicides that controlled organisms that caused plant diseases of different types. It is widely used as a preservative in leather, paint, textile, fruits and papermaking industry. It is also used as an anticancer drug in chemical medicine. In the present study low concentrations of carbendazim was administered at 5, 10, 25 and 50mM doses intradermally to male albino rats. At the end of 6 hr, 12hr and 24hr duration, blood samples were collected from the animal for the analysis of biochemical and haematological parameters. Carbendazim caused an increase of cholesterol, uric acid, glucose and creatinine while serum phosphorous content was decreased. However, mean hemoglobin, WBC, E, and platelet counts increased and total RBC, N and L counts decreased. These results indicated that low dose level carbendazim contributed to toxicological effects in the rat tissues.Keywords: Methyl 2-benzimidazole carbamate; Fungicide; Rat tissue

EEG-EMG-coherence in SDB patients with utilization of a support vector machine-algorithm [Poster Abstract]

Background We investigated whether the EEG-EMG-coherence allows a differentiation between patients with sleep-disordered breathing (SDB) without OSA and SDB-patients with mild, moderate or severe OSA. Methods Polysomnographic recordings of 102 patients with SDB (33 female; age: 53,± 12,4 years) were analyzed with the multitaper coherence method (MTM). Recordings contained 2 EEG-channels (C3 and C4) and a chin EMG-channel for one night. Four epochs (each 30 seconds, classified manually by AASM 2007 criteria) of each sleep stage were marked (1632 epochs in total), which were included in the classification analysis. The collected data sets were supplied to the support vector machine (SVM) algorithm to classify OSA severity. Twenty patients had a mild (RDI ≥10/h and < 15/h), 30 patients had a moderate (RDI ≥15/h and < 30/h) and 27 patients had a severe OSA (RDI ≥30/h). 25 patients had a RDI < 10/h. The AUC (area under the curve) value was calculated for each receiver operator curve (ROC) curve. Results EEG-EMG coherence was able to distinguish between the SDB-patients without OSA and SDB-patients with OSA in each of the 3 severity groups using an SVM algorithm. In mild OSA, the AUC was 0.616 (p = 0.024), in moderate OSA the AUC was 0.659 (p = 0.003), and in severe OSA the AUC was 0.823 (p < 0.001). Conclusions SDB patients with OSA can be differentiated from SDB patients without OSA on the basis of EEG-EMG coherence by using the Multitaper Coherence Method (MTM) and SVM algorithm

Sleep stage classification using spectral analyses and support vector machine algorithm on C3- and C4-EEG signals [Abstract]

Introduction Sleep stage classification currently relies largely on visual classification methods. We tested a new pipeline for automated offline classification based upon power spectrum at six different frequency bands. The pipeline allowed sleep stage classification and provided whole-night visualization of sleep stages. Materials and methods 102 subjects (69 male; 53.74 ± 12.4 years) underwent full-night polysomnography. The recording system included C3- and C4-EEG channels. All signals were measured at sampling rate of 200 Hz. Four epochs (30 seconds each) of each sleep stage (N1, N2, N3, REM, awake) were marked in the visually scored recordings of each one of the 102 patients. Scoring of sleep stages was performed according to AASM 2007-criteria. In total 408 epochs for each sleep stage were included in the sleep stage classification analyses. Recordings of all these epochs were fed into the pipeline to estimate the power spectrum at six different frequency bands, namely from very low frequency (VLF, 0.1-1 Hz) to gamma frequency (30-50 Hz). The power spectrum was measured with a method called multitaper method. In this method the spectrum is estimated by multiplying the data with K windows (i.e tapers).The estimated parameters were given as input to the support vector machine (SVM) algorithm to classify the five different sleep stages based on the mean power amplitude estimated from six different frequency bands. The SVM algorithm was trained with 51 subjects and the testing was done with the other 51 subjects. In order to avoid bias of the training dataset, a 10-fold cross validation was additionally done to check the performance of the SVM algorithm Results The estimated testing accuracy of prediction of the sleep stages was 84.1% for stage N1 using the mean power amplitude from the delta frequency band. Accuracy was 67.8% for stage N2 from the delta frequency band and 74.9% for stage N3 from the VLF. Accuracy was 79.7% for REM stage from the delta frequency band and 84,8% for the wake stage from the theta frequency band. Conclusions We were able to successfully classify the sleep stages using the mean power amplitude at six different frequency bands separately and achieved up to 85% accuracy using the electrophysiological EEG signals. The delta and theta frequency bands gave the best accuracy of classification among all sleep stages

EEG-EMG-Kohärenz bei Rhonchopathie-Patienten unter Verwendung eines Support Vector Machine-Algorithmus [Abstract]

Einleitung: Untersucht wurde, ob die EEG-EMG-Kohärenz die Differenzierung zwischen Rhonchopathie-Patienten ohne obstruktive Schlafapnoe (OSA) und Patienten mit OSA eines gering-, mäßig- oder schwergradigen Ausmaßes erlaubt. Methoden: Polysomnographische Aufzeichnungen von 102 Rhonchopathie-Patienten (33 weiblich Alter: 53,74 ± 12,4 Jahre) wurden mit der Multitaper-Kohärenz-Methodik (MTM) analysiert. Die Aufnahmen umfassten u.a. die C3- und C4-EEG-Kanäle und einen Kinn-EMG-Kanal. Vier Epochen (30 Sekunden, manuell nach AASM 2007-Kriterien klassifiziert) jedes Schlafstadiums wurden markiert (insgesamt 1632 Epochen), die in die Klassifikation-Analysen aufgenommen wurden. Die erhobenen Datensätze wurden als Input für den support vector machine (SVM) – Algorithmus eingegeben, um die 4 verschiedenen OSA-Schweregrade zu klassifizieren. Zwanzig Patienten hatten an einer milden (RDI ≥10/h und < 15/h), 30 Patienten an einer mäßigen (RDI ≥15/h und < 30/h) und 27 Patienten an einer schweren OSA (RDI ≥30/h) gelitten. 25 Patienten hatten ein RDI < 10/h. Der AUC (area under the curve)-Wert wurde bei jeder ROC (receiver operator curve)-Kurve errechnet. Ergebnisse: Mithilfe der EEG-EMG-Kohärenz konnte unter Verwendung eines SVM-Algorithmus zwischen den Rhonchopathie-Patienten ohne OSA und den OSA-Patienten der jeweiligen 3 Schweregrad-Gruppen unterschieden werden. Bei milder OSA lag der AUC-Wert bei 0.616 (p = 0.024), bei mäßiger OSA lag der AUC-Wert bei 0.659 (p = 0.003) und bei schwerer OSA lag der AUC-Wert bei 0.823 (p < 0.001). Schlussfolgerung: Rhonchopathie-Patienten mit OSA lassen sich von Rhonchopathie-Patienten ohne OSA allein durch die EEG-EMG-Kohärenz der Polysomnografie mithilfe der Multitaper-Kohärenz -Methodik (MTM) unter Verwendung eines SVM-Algorithmus unterscheiden