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计算机辅助识别和定量空气中化学物质对小鼠呼吸道不同部位的作用。

Computer assisted recognition and quantitation of the effects of airborne chemicals acting at different areas of the respiratory tract in mice.

作者信息

Vijayaraghavan R, Schaper M, Thompson R, Stock M F, Boylstein L A, Luo J E, Alarie Y

机构信息

Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, PA 15238.

出版信息

Arch Toxicol. 1994;68(8):490-9. doi: 10.1007/s002040050101.

Abstract

The pattern and timing of a normal breath in unanesthetized mice was analyzed from measurement of inspiratory and expiratory airflows (VI and VE). Airflow was measured via a differential pressure transducer, attached to a pneumotachograph, which itself was attached to a body plethysmograph into which a mouse was placed. The analog voltage from the differential pressure transducer was digitized and stored for analysis on a microcomputer. Criteria were developed to classify each breath as normal (N) or belonging into one of seven abnormal categories. The abnormal categories were arrived at by computer analysis, recognizing specific modifications of the normal pattern into patterns of: sensory irritation of the upper respiratory tract (S), airflow limitation within the conducting airways of the lungs (A) or pulmonary irritation at the alveolar level (P). Combinations of these effects, i.e., S+A, P+A, P+S and P+S+A were also recognized. Computer analysis of each breath also permitted quantitative evaluation of the degree of S, A or P abnormalities. To induce each type of effect we used inhalation exposures to 2-chlorobenzylchloride, carbamylcholine or propranolol. We propose that this approach will permit rapid evaluation of the possible effects of airborne chemicals at three levels of the respiratory tract, with the classification of the type of effect easily obtained in an objective way using well defined criteria, followed by quantitation of the degree of each effect.

摘要

通过测量吸气和呼气气流(VI和VE)来分析未麻醉小鼠的正常呼吸模式和时间。气流通过连接在呼吸流速计上的差压传感器进行测量,呼吸流速计本身又连接到一个小鼠放置其中的体容积描记器上。差压传感器的模拟电压被数字化并存储在微型计算机上进行分析。制定了标准,将每一次呼吸分类为正常(N)或属于七个异常类别之一。异常类别是通过计算机分析得出的,识别出正常模式的特定改变为以下模式:上呼吸道的感觉刺激(S)、肺传导气道内的气流受限(A)或肺泡水平的肺部刺激(P)。这些效应的组合,即S+A、P+A、P+S和P+S+A也被识别出来。对每次呼吸的计算机分析还允许对S、A或P异常的程度进行定量评估。为了诱导每种类型的效应,我们使用吸入2-氯苄基氯、氨甲酰胆碱或普萘洛尔。我们提出,这种方法将允许在呼吸道的三个水平上快速评估空气传播化学物质的可能影响,通过使用明确的标准以客观的方式轻松获得效应类型的分类,随后对每种效应的程度进行定量。

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