scholarly journals Technologically Processed Highly Diluted Antibodies to S100 Protein in the Treatment of Neurotic Disorders: The Review

2020 ◽  
Author(s):  
Kristina Konstantinovna Khacheva ◽  
Gulnara Rinatovna Khakimova ◽  
Alexey Borisovich Glazunov ◽  
Victoria Vyacheslavovna Fateeva
Dose-Response ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 155932581877975 ◽  
Author(s):  
Elena V. Kardash ◽  
Irina A. Ertuzun ◽  
Gul'nara R. Khakimova ◽  
Andrey N. Kolyadin ◽  
Sergey A. Tarasov ◽  
...  

Earlier studies have shown that combination of antibodies to S100 protein and to cannabinoid receptor type 1 in released-active form (Brizantin) may possess anxiolytic properties and decrease nicotine dependence. Released-active form of antibodies is a novel approach that permits to modify natural functions of the target molecule (antigen) under investigation. The aim of the present study was to evaluate the anxiolytic-like effect of Brizantin in the light–dark test in mice, according to its ability to influence the number of entries into the lit compartment and the total time spent there. Three doses of Brizantin (2.5, 5, and 10 mL/kg) were compared with diazepam (1 mg/kg), placebo, and vehicle control. Anxiolytic-like effect of the tested drug was shown to be dose dependent, with an increasing trend from 2.5 to 10 mL/kg. Brizantin in its highest dose significantly increased studied behavioral parameters, although its effect was less pronounced than that of the reference drug diazepam (1 mg/kg).


2003 ◽  
Vol 127 (9) ◽  
pp. 1196-1199 ◽  
Author(s):  
David Buob ◽  
Agnes Wacrenier ◽  
Dominique Chevalier ◽  
Sebastien Aubert ◽  
Jean-François Quinchon ◽  
...  

Abstract Context.—Peripheral nerve sheath tumors are soft tissue neoplasms rarely encountered in the nasal cavity and paranasal sinuses. Objective.—To describe the clinicopathologic and immunohistochemical features of a series of schwannomas of the sinonasal tract. Design.—Surgical pathology files were searched for the diagnosis “sinonasal schwannoma.” All histologic documents and clinical data were reviewed. Immunohistochemistry was performed on paraffin-embedded tissue with antibodies to S100 protein, epithelial membrane antigen, CD34, and MIB-1. Results.—Five cases of sinonasal schwannoma were retrieved; patients included 3 women and 2 men, aged 20 to 56 years. Three cases were located in the ethmoid sinus. Clinical symptoms were nonspecific (nasal obstruction, epistaxis, and anosmia). All tumors were treated with conservative surgical resection. Pathologic examination showed a spindle cell proliferation without encapsulation in all cases. No cytologic atypia was seen, and the mitotic activity was low (<3 mitotic figures/10 high-power fields). Immunohistochemistry showed diffuse positivity with S100 protein and negativity with CD34 and epithelial membrane antigen. MIB-1 staining was low (1%–5% of tumor cell nuclei stained). During the follow-up (median, 6 years), no recurrence or metastasis was observed. Conclusions.—Schwannoma is a very unusual tumor of the sinonasal tract and is associated with nonspecific symptoms. Histologically, sinonasal schwannomas differ from schwannomas of other locations by their lack of a peripheral capsule and possible ulceration of the epithelial covering. Sinonasal schwannomas are treated with conservative surgical resection and have an excellent prognosis.


1997 ◽  
Vol 36 (04/05) ◽  
pp. 349-351
Author(s):  
H. Mizuta ◽  
K. Kawachi ◽  
H. Yoshida ◽  
K. Iida ◽  
Y. Okubo ◽  
...  

Abstract:This paper compares two classifiers: Pseudo Bayesian and Neural Network for assisting in making diagnoses of psychiatric patients based on a simple yes/no questionnaire which is provided at the outpatient’s first visit to the hospital. The classifiers categorize patients into three most commonly seen ICD classes, i.e. schizophrenic, emotional and neurotic disorders. One hundred completed questionnaires were utilized for constructing and evaluating the classifiers. Average correct decision rates were 73.3% for the Pseudo Bayesian Classifier and 77.3% for the Neural Network classifier. These rates were higher than the rate which an experienced psychiatrist achieved based on the same restricted data as the classifiers utilized. These classifiers may be effectively utilized for assisting psychiatrists in making their final diagnoses.


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