Objecfive To observe the changes of regional cerebral blood flow (rCBF) in systemic lupus erythematosus (SLE) patients with neuropsychiatrie disorders and evaluate rCBF SPECT imaging in the detection of neuropsychiatric problems in SLE patients.Methods Twenty neuropsychiatrie SLE patients were enrolled in the study and were performed SPECT rCBF imaging anti CT/MRI scans,respectively.Twenty SLE patients without neuropsychiatrie manifestatiuns (SLE) and 20 healthy volunteers also underwent SPECT rCBF imaging as controls.Semiquantitative analysis was conducted as designed by selecting 3 consecutive crosssections and delineating ROI,which generated HQ and the results were compared between with SLE and controls.Results SPECT rCBF findings were almormal in 20 NPSLE.in which 19 of the 20 with abnormal SPECT findings showed focal uptake defects the other patient showed increased foeal uptake.Four N PSLE patients had ahnormal CT/MRI scans findings.Compared with the methods of rCBF and CT/MRI imaging,the difference was significant (P＜0.01).Nineteen SLE patients without neuropsychiatrie manifestations had normal SPECT findings.the other 1 patient showed focal uptake defect.SPECT findings were all normal in 20 healthy volunteers.Temporal cortex was the most commonly involved region,followed by frontal cortex.Specific values generated from semiquantitative analysis (HQ) of temporal and frontal regions in neruopsychiatrie SLE patients were lower than that in SLE patients and healthy volunteers (P＜0.01 and P＜0.05).Conclusion SPECT rCBF imaging has the potential to be a sensitive tool to detect the neuropsyehiatric disordersin SLE patients,and has important value in helping for early diagnosis and therapy.Hypoperfusion on ECD-SPECT under the territory of the middle cerebral artery (MCA) is the most common observation,and which temporal and frontal regions are the most frequently involved regions in neruopsychiatrie SLE patients.

[Abstract] Objective: To investigate the pathogenesis of prostate cancer by analyzing the associated hub gene modules of prostate cancer and identifying key transcription factors and genes that affect these modules. Methods: WGCNA (weighted gene co-expressed network analysis) was used to identify hub gene modules associated with important clinicopathological features of prostate cancer, such as pathological staging, Gleason grading etc. The OPOSSUM online tool was used to analyze the transcription factors enriching and regulating those genes. Pathway enrichment analysis and protein-protein interaction network analysis were used to identify key genes in prostate cancer. Finally, the effects of these genes on clinical features and disease-free survival (DFS) of prostate cancer patients were analyzed. Results: Three hub modules were identified, and they were highly associated with pathologic T stage, pathologic N stage and Gleason grading of prostate cancer, respectively. Further screening revealed 13 key dysregulated transcription factors that participated in the regulation of these three hub modules. The differentially expressed genes regulated by the 13 key transcription factors were significantly enriched in Calcium signaling pathway, cGMP-PKG signaling pathway and cAMP signaling pathway. 14 key genes (PRKG1, PRKG2, CYSLTR2, GRPR, CHRM3, ADCY5, ADRA1D, EDNRA, EDNRB, CYSLTR2, AGTR1, GRPR, GRIA1 and OXT) were at important nodes in the gene network. Among them, the high expression of ADRA1A, PRKG2, CHRM3, ADRA1D and EDN3 significantly extended the DFS of patients with prostate cancer (all P<0.01). Conclusion: ADRA1A, PRKG2, CHRM3, ADRA1D and EDN3 are regulated by key dysregulated transcription factors and highly associated with clinical features of prostate cancer. Their high expressions will significantly prolong the DFS of prostate cancer patients, which may shed light to the discovery of mechanism in prostate adenocarcinoma.