Plasma protein patterns in health and disease.

L M Killingsworth
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引用次数: 35

Abstract

The complex nature of protein metabolism has made interpretation of serum protein data a difficult task. Interpretive efforts can be facilitated by use of protein profiles which consist of quantitative immunochemical data combined with qualitative electrophoretic patterns. These profiles can be designed to clarify physiological relationships and emphasize pathological conditions through pattern recognition. This review will present protein profiles observed in acute, subacute, and chronic inflammation: liver diseases, protein losing disorders, plasma cell dyscrasias, humoral immune deficiencies, autoimmune diseases, genetic deficiency states, and other disorders. The value of consultative interaction and the use of combined profiles in the assessment of a patient's protein status will be covered. A discussion of protein patterns in normal individuals will include data on day-to-day, age- and sex-related variation. A section on management of protein data will present various approaches to profile reporting. Graphical report formats which minimize the time required for information transfer and simplify assimilation of results will be emphasized.

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血浆蛋白在健康和疾病中的模式。
蛋白质代谢的复杂性使得解释血清蛋白数据成为一项困难的任务。通过使用由定量免疫化学数据结合定性电泳模式组成的蛋白质谱,可以促进解释工作。这些配置文件可以通过模式识别来阐明生理关系和强调病理条件。本综述将介绍在急性、亚急性和慢性炎症中观察到的蛋白质谱:肝脏疾病、蛋白质丢失障碍、浆细胞异常、体液免疫缺陷、自身免疫性疾病、遗传缺陷状态和其他疾病。咨询性互动的价值和在评估患者蛋白质状态时使用的联合概况将被涵盖。对正常个体蛋白质模式的讨论将包括日常、年龄和性别相关变化的数据。关于蛋白质数据管理的一节将介绍各种概况报告的方法。将强调将信息传递所需的时间降至最低并简化结果同化的图形报告格式。
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