The expression and significance of apoptosis related gene BAG-1 in meningioma / 中国应用生理学杂志

<p><b>OBJECTIVE</b>To analyze the expressions of BAG-1 in meningioma for further understanding of biological behaviors of meningiomas.</p><p><b>METHODS</b>The specimens included in this study were collected from 158 meningioma cases. Streptavidin-peroxidase were used in immunohistochemical staining. The results of immunohistochemical score were depending on the positive ratio and intensity of the immunoreactivity. The expressions of BAG-1 in meningioma were analyzed in relationship with histopathologic grading, postoperative recurrence.</p><p><b>RESULTS</b>The difference in the expression degree of BAG-1 between each subtype in the same histopathologic grade and various subtypes between the grade of II to III were not statically significant (P > 0.05). The expression degree of BAG-1 between each subtype in the pathological grade I to the each subtype pathological grade I or III was different, the difference had statistical significance (P < 0.05 or P < 0.01). The immunohistochemical score of the expression of BAG-1 was decreased gradually with the pathologic grading of WHO increased, and the result was statistically significant (chi2 = 141.49, P < 0.01). As the immunohistochemical score of the expression of BAG-1 decreased the postoperative meningioma was easy to recur, the result was statistically significant (x2 = 55.13, P < 0.01).</p><p><b>CONCLUSION</b>The expression degree of BAG-1 is in close correlations with the WHO pathologic grading of meningioma. The lower the expressions of BAG-1, the more recurrent with postoperation of meningiomas will be.</p>

MALDI-TOF-MS combined with WCX technique in diagnosing pituitary adenoma / 中国应用生理学杂志

<p><b>OBJECTIVE</b>Application of matrix assisted laser desorption ionization time of flight mass spectrometry enhancement (MALDI-TOF-MS) combined with WCX nanometer magnetic bead technique, screening of the serum biomarkers in pituitary adenoma, to establish a serum protein fingerprint classification decision tree.</p><p><b>METHODS</b>Analyse the serum samples of 40 cases of pituitary adenoma and 60 cases of healthy adult and find the different protein peaks, then to establish the diagnosis model and the classification decision tree of pituitary adenomas.</p><p><b>RESULTS</b>A total of 42 differences in protein peaks were identified in the experimental and control group (P < 0.01). The diagnosis model of pituitary adenomas was established by three protein peaks (3382.0, 4601.9, 9191.2). The model could screen the pituitary adenoma out of the normal population. The sensitivity was 90.00% and the specificity was 88.30%. By the double blind experimental validation, the model could diagnose the pituitary adenoma and the sensitivity was 88%, the specificity was 83.30%.</p><p><b>CONCLUSION</b>Significantly different protein peaks can be screened out between pituitary adenoma cases and healthy controls using MALDI-TOF-MS combined with WCX technique, and these protein peaks may be used as a pituitary adenoma detection, follow-up indicator.</p>