The Second Peoples Hospital of Guizhou Province

Guiyang, China

The Second Peoples Hospital of Guizhou Province

Guiyang, China
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Zhang L.,The Second Peoples Hospital of Guizhou Province | He J.,The Second Peoples Hospital of Guizhou Province | Bi B.,The Second Peoples Hospital of Guizhou Province | Zhang S.,The Second Peoples Hospital of Guizhou Province | And 2 more authors.
Chinese Journal of Microbiology and Immunology (China) | Year: 2015

Objective: To provide supportive evidences for the diagnosis of primary major depressive disorder (MDD) by analyzing the alterations of proinflammatory cytokines such as IL-1α, IL-6, IL-18, TNF-α as well as the total complement activity (CH50) in serum samples. Methods: Hamilton Depression Rating Scale (HAMD) was used to rate the severity of depression with the patients who were diagnosed as primary MDD. Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of IL-1α, IL-6, IL-18 and TNF-α and the CH50 in serum samples from 49 patients and 40 healthy subjects. Results: Patients with MDD showed significantly different levels of IL-6, IL-18, TNF-α and CH50 in serum samples as compared with that in healthy subjects (P<0.05). No significant difference with the level of IL-1α was observed between the patients with MDD and healthy subjects (P>0.05). There were significant gender differences with levels of IL-1α among the patients with MDD (P<0.05). However, no significant differences with the levels of IL-6, IL-18, TNF-α and CH50 were found between male and female patients (P>0.05). Conclusion: The changes of CH50 and certain proinflammatory cytokines such as IL-6, IL-18 and TNF-α might be involved in the progression of MDD, suggesting the possibility of using them as indicators for the diagnosis of MDD. Copyright © 2015 by the Chinese Medical Association.


PubMed | The Second Peoples Hospital of Guizhou Province, Shanghai Maritime University, Shanghai JiaoTong University and Rowan University
Type: | Journal: BioMed research international | Year: 2015

Alzheimers disease (AD) is a progressively and fatally neurodegenerative disorder and leads to irreversibly cognitive and memorial damage in different brain regions. The identification and analysis of the dysregulated pathways and subnetworks among affected brain regions will provide deep insights for the pathogenetic mechanism of AD. In this paper, commonly and specifically significant subnetworks were identified from six AD brain regions. Protein-protein interaction (PPI) data were integrated to add molecular biological information to construct the functional modules of six AD brain regions by Heinz algorithm. Then, the simulated annealing algorithm based on edge weight is applied to predicting and optimizing the maximal scoring networks for common and specific genes, respectively, which can remove the weak interactions and add the prediction of strong interactions to increase the accuracy of the networks. The identified common subnetworks showed that inflammation of the brain nerves is one of the critical factors of AD and calcium imbalance may be a link among several causative factors in AD pathogenesis. In addition, the extracted specific subnetworks for each brain region revealed many biologically functional mechanisms to understand AD pathogenesis.

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