دانلود مقاله ISI انگلیسی شماره 72946
ترجمه فارسی عنوان مقاله

کاهش تعداد سلول های کشنده طبیعی محیطی در اسکیزوفرنی - اما نه در اختلال دو قطبی -

عنوان انگلیسی
Reduced number of peripheral natural killer cells in schizophrenia but not in bipolar disorder
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
72946 2016 7 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Brain, Behavior, and Immunity, Volume 54, May 2016, Pages 194–200

ترجمه کلمات کلیدی
لنفوسیت؛ سلول های NK؛ دکانولوشن محاسباتی - التهاب؛ ایمنی؛ اسکیزوفرنی؛ اختلال دو قطبی
کلمات کلیدی انگلیسی
Lymphocytes; NK cells; Computational deconvolution; Inflammation; Immunity; Schizophrenia; Bipolar disorder
پیش نمایش مقاله
پیش نمایش مقاله  کاهش تعداد سلول های کشنده طبیعی محیطی در اسکیزوفرنی - اما نه در اختلال دو قطبی -

چکیده انگلیسی

Overwhelming evidence indicates that subthreshold inflammatory state might be implicated in the pathophysiology of schizophrenia (SCZ) and bipolar disorder (BPD). It has been reported that both groups of patients might be characterized by abnormal lymphocyte counts. However, little is known about alterations in lymphocyte proportions that may differentiate SCZ and BPD patients. Therefore, in this study we investigated blood cell proportions quantified by means of microarray expression deconvolution using publicly available data from SCZ and BPD patients. We found significantly lower counts of natural killer (NK) cells in drug-naïve and medicated SCZ patients compared to healthy controls across all datasets. In one dataset from SCZ patients, there were no significant differences in the number of NK cells between acutely relapsed and remitted SCZ patients. No significant difference in the number of NK cells between BPD patients and healthy controls was observed in all datasets. Our results indicate that SCZ patients, but not BPD patients, might be characterized by reduced counts of NK cells. Future studies looking at lymphocyte counts in SCZ should combine the analysis of data obtained using computational deconvolution and flow cytometry techniques.