Effect of Lesioning the Ventral Tegmental Area on Food Intake, Water Intake, Body Weight and Alcohol Consumption in Wistar Albino Rats.

AIM: To study the effect of lesion of the ventral tegmental area (VTA) on food intake, water intake, alcohol consumption, and alcohol preference in the post-lesion period. MATERIAL AND METHODS: A group of 38 young adult healthy male Wistar albino rats was included in this experiment. The groups of rats were subjected to the bilateral electrolytic lesion of VTA, and the effect on water intake, food intake, alcohol consumption, and alcohol preference in the post-lesion period was analyzed. A sham lesioned control group was maintained for all experimental groups. RESULTS: There was no change observed in food intake and the body weight in lesioned animals (p > 0.05). It was found that increased water intake was observed if only water was given. There was also increased alcohol intake when alcohol was only provided (p < 0.05). However, two bottle-free choice tests for alcohol preference revealed that the rats preferred to consume water and not alcohol when the choice was given. There was an increase in the total volume consumed (p < 0.05). CONCLUSION: There was an increase in water intake and no notable changes in the food intake and body weight following the lesion. When offered alone, alcohol consumption was raised, but when a choice of alcohol and water was given in a two-bottle freechoice test, rats preferred to drink water. The present study suggests that VTA lesions may be associated with increased thirst and high fluid consumption, which may have implications in water balance.

A study of effect of Centella asiatica on oxidative markers in the hippocampus of offsprings born to alcohol-fed pregnant rats and the correlation with their cognitive functions.

OBJECTIVES: Alcohol consumption causes several harmful effects on the organs, which is hugely understated. Many deformities occur in the fetus when pregnant mothers indulge in alcoholism. Alcohol is a known teratogen, hence organ formation, particularly development of parts brain critical for cognitive function may be affected. The oxidative brain damage also could contribute to reduced cognitive efficiency of brain exposed to alcohol. In this study, effect of Centella asiatica in relieving the oxidative brain damage in offspring of alcohol fed mother rats was evaluated. METHODS: In this study we fed alcohol (5 g/kg body weight, 30% w/v) to a group of pregnant Wistar rats during gestation period, and another group served as control. Four groups of rats (n = 6 each) were selected from the offspring of these mother rats. The groups were, control, positive (treated) control, untreated and treated from alcohol-fed mother. Their cognitive parameters were tested in water maze, shuttle box and compared. Further their oxidative status was evaluated by estimating malondialdehyde (MDA), protein carbonyl, total antioxidants and glutathione reductase (GSH) in hippocampus. RESULTS: The results suggested that there was significantly high cognitive performance in maze test and shuttle box memory retention in rats treated with C. asiatica water extract and the antioxidant levels were high in their hippocampus. CONCLUSIONS: The outcome of the study suggested that C. asiatica produced beneficial effects in reversing the alcohol induced brain damage in pregnancy.

Classification of Infectious and Noninfectious Diseases Using Artificial Neural Networks from 24-Hour Continuous Tympanic Temperature Data of Patients with Undifferentiated Fever.

Fever is one of the major clinical symptoms of undifferentiated fever cases. Early diagnosis of undifferentiated fever is a challenging task for the physician. The aim of this study was to classify infectious and noninfectious diseases from 24-hour continuous tympanic temperature recordings of patients with undifferentiated fever using a machine learning algorithm (artificial neural network). This was an observational study conducted in 103 patients who presented with undifferentiated fever. Twenty-four-hour continuous tympanic temperature was recorded from each patient. Features were extracted from temperature signals and classified into infectious and noninfectious diseases using an artificial neural network (ANN). The ANN classifier provided the highest accuracy at 91.3% for differentiating infectious and noninfectious diseases from undifferentiated fever cases. Significant kappa agreement (κ = 0.777) was found between the final diagnosis as determined by the physician and the classification obtained using an ANN classifier. Based on our results, we conclude that the continuous 24-hour temperature monitoring and application of an ANN classifier provides a simple noninvasive and inexpensive supplementary diagnostic method to differentiate infectious and noninfectious diseases.

A Predictive Model to Classify Undifferentiated Fever Cases Based on Twenty-Four-Hour Continuous Tympanic Temperature Recording.

Diagnosis of undifferentiated fever is a major challenging task to the physician which often remains undiagnosed and delays the treatment. The aim of the study was to record and analyze a 24-hour continuous tympanic temperature and evaluate its utility in the diagnosis of undifferentiated fevers. This was an observational study conducted in the Kasturba Medical College and Hospitals, Mangaluru, India. A total of ninety-six (n = 96) patients were presented with undifferentiated fever. Their tympanic temperature was recorded continuously for 24 hours. Temperature data were preprocessed and various signal characteristic features were extracted and trained in classification machine learning algorithms using MATLAB software. The quadratic support vector machine algorithm yielded an overall accuracy of 71.9% in differentiating the fevers into four major categories, namely, tuberculosis, intracellular bacterial infections, dengue fever, and noninfectious diseases. The area under ROC curve for tuberculosis, intracellular bacterial infections, dengue fever, and noninfectious diseases was found to be 0.961, 0.801, 0.815, and 0.818, respectively. Good agreement was observed [kappa = 0.618 (p < 0.001, 95% CI (0.498-0.737))] between the actual diagnosis of cases and the quadratic support vector machine learning algorithm. The 24-hour continuous tympanic temperature recording with supervised machine learning algorithm appears to be a promising noninvasive and reliable diagnostic tool.

Comparison of Conventional Mercury Thermometer and Continuous TherCom® Temperature Recording in Hospitalized Patients.

INTRODUCTION: Detection of accurate body temperature fluctu-ations in hospitalized patients is crucial for appropriate clinical decision-making. The accuracy and reliability of body temperature assessment may significantly affect the proper treatment. AIM: To compare the conventional and continuous body temperature recordings in hospitalized patients. MATERIALS AND METHODS: This cross-sectional study was carried out at a tertiary care centre and study included 55 patients aged between 18-65 years with a history of fever admitted to a tertiary care hospital. A noninvasive continuous temperature recording was done using TherCom® device through tympanic temperature probe at tympanic site at one-minute intervals for 24 hours. The conventional temperatures were recorded in the axilla using mercury thermometer at specific time intervals at 12:00 noon, 8:00 PM and 5:00 AM. Peak temperature differences between continuous and conventional methods were compared by applying Independent sample t-test. Intra class Correlation Coefficient (ICC) test was performed to assess the reliability between two temperature-monitoring methods. A p<0.05 was considered as significant. RESULTS: The average peak temperature by non-invasive continuous recording method was 39.07°C ±0.76°C while it was 37.55°C ±0.62°C by the conventional method. A significant temperature difference of 1.52°C [p<0.001;95% CI(1.26-1.78)] was observed between continuous and conventional temperature methods. Intra class Correlation Coefficient (ICC) between continuous and conventional temperature readings at 12:00 noon was α= 0.540, which had moderate reliability. The corresponding coefficients at 8:00 PM and 5:00 AM were α=0.425 and 0.435, respectively, which had poor reliability. CONCLUSION: The conventional recording of temperature is routinely practiced and does not reflect the true temperature fluctuations. However, the continuous non-invasive temperature recording is simple, inexpensive and a better tool for recording the actual temperature changes.

Evaluation of acute effects of melatonin on ethanol drinking in ethanol naïve rats.

OBJECTIVE: The objective was to evaluate the acute effect of melatonin on ethanol drinking in ethanol naïve rats and to determine the specificity of the effect of melatonin on ethanol intake as compared to an intake of plain tap water or sugar water. MATERIALS AND METHODS: A total of three experiments (2 weeks duration each) using different drinking solutions (ethanol, plain tap water, sugar water) was conducted in individually housed male wistar rats of 5 weeks age. Each animal had access to bottles containing drinking solutions for 2 h a day. In each experiment, on day 1, day 2, day 4, day 5, day 8, day 9, day 11, day 12 rats received drinking solutions. Each individual rat received single doses of saline, melatonin (50 mg and 100 mg/kg), and naltrexone on day 2, 5, 9, and 12, 1-h before receiving drinking solution. The order of drug administration is permuted such a way that each animal received the drugs in a different order in different experiments. RESULTS: Melatonin has significantly decreased ethanol consumption by the rats and effect is dose-dependent. Naltrexone also has caused a significant reduction in the ethanol consumption. The maximum reduction in ethanol consumption was seen with melatonin 100 mg/kg dose compared to melatonin 50 mg/kg and naltrexone. There was no statistically significant effect of melatonin on plain water and sugar solution intake. CONCLUSIONS: Melatonin decreases ethanol consumption in ethanol naïve rats. The effect of melatonin is similar to naltrexone affecting selectively ethanol consumption, but not plain water and sugar water consumption.