生物體液，包含了體液(body fluid)，泛指身體分泌的液體，包括血清、尿液、腦脊液…等，另一種形式則是以外來液體沖堤體腔或特定器官觀察其表面成份的組成，生物體液代表著不同器官、系統或是體腔的特徵，所以常運用至病理上的觀察，尤其以體液中的蛋白質組成除了可當作診斷的依據，對於病理的機制亦是重要的參考。
　　而蛋白質體學(proteomics)的技術即是針對蛋白質混合物進行分離、量化及鑑定，現今最為廣泛使用的是二維凝膠蛋白質電泳加上質譜鑑定合併而成，但是鑒於二維凝膠蛋白質電泳過程繁雜、耗時良久且具有勞動密集易產生人為誤差的缺點，相較之下，近年來對串聯式質譜所產生的數據運用於蛋白質資料庫的搜尋有更進一步的了解，質譜配合上液相層析分離系統非常適用於蛋白質組成較為簡單的生物體液檢體。本研究針對單以液相層析串聯式質譜為基礎的生物體液蛋白質體分析系統進行研發，發展的結果可直接使用於各種含有不同蛋白質種類及含量的檢體，有助於縮短分析時間以及減少人為的誤差。同時，本研究於開發完成後，對於直接暴露使用切削油的金屬加工作業環境所產生的油煙之大鼠，應用此系統觀察其肺沖堤液中蛋白質體之改變。結果顯示有29種蛋白質在暴露過程後具顯著的改變，包含了surfactant-associated proteins (SP-A and SP-D), inflammatory proteins (complement component 3, immunoglobulins, lysozyme, etc.), growth factors (e.g. transforming growth factor alpha), calcium-binding proteins (calcyclin, calgranulin A, calreticulin, and calvasculin)以及其他種的蛋白質 (e.g., cathepsin D, saposin, and intestinal trefoil factor)，SP-A及SP-D在暴露完後大幅的減少至對照組的0.24及0.38倍，而 transforming growth factor alpha及calcium-binding proteins則是相較於對照組增加了4.46、1.4、1.8倍。由於檢測到這些具有功能的蛋白質含量的改變，本研究結果希望有助於了解造成肺功能改變的生理機制。

　Biological fluids, such as serum, urine, cerebrospinal fluid (CSF), and lavage, are characteristics of different organ systems and body cavities and can be used for pathology monitoring. Especially, the proteins in body fluids are not only used for diagnosis but also contain important information related to pathology pathways. Proteomics refers to the systematic investigation of the proteins in a cell culture or a tissue, that is, the proteome, by separation, quantification, and identification of the complicated protein mixture. Today, the most popular analytical method for proteomic study is the combination of two-dimensional gel electrophoresis (2D-GE) and mass spectrometry (MS) protein identification (ID). However, 2D-GE process is time-consuming and highly labor-intensive. Alternative approaches that eliminating 2D-GE steps in proteomic study are desired and under intensive investigation. Recently, liquid chromatography tandem mass spectrometry (LC-MS/MS) has been used for proteome identification without tedious 2D-GE. We foresee that LC-MS/MS will be very useful to analyze biological fluids for the search of biomarkers related to various diseases. This study design and setup an LC-MS/MS-based system for proteomic analysis of biological fluids. This system can be used for the identification and quantification of proteomes in various biological fluids for biomarker discovery. The system should shorten the analysis time and reduce experimentation variations by automation. This analytical system has been used to study the changes in the proteome of the bronchoalveolar lavage fluid (BALF) of rats exposed directly to a fuming oil-releasing environment in a metal processing factory. The results revealed that 29 proteins exhibited significant changes after exposure. These proteins included surfactant-associated proteins (SP-A and SP-D), inflammatory proteins (complement component 3, immunoglobulins, lysozyme, etc.), growth factors (e.g. transforming growth factor alpha), calcium-binding proteins (calcyclin, calgranulin A, calreticulin, and calvasculin), and other proteins (e.g., cathepsin D, saposin, and intestinal trefoil factor). A large decrease in protein levels of SP-A and SP-D (0.24- and 0.38-fold, respectively) following exposure was observed. In contrast, protein levels of transforming growth factor alpha and calcium-binding proteins were significantly increased (4.46- and 1.4-1.8-fold, respectively). Due to the diverse functions of these proteins, the results might contribute to understand the mechanisms involved in lung disorders induced by oil mist exposure.

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