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11 results on '"Zhang, Qiongli"'

4. Dendritic Cells in Semen of Infertile Men: Association with Sperm Quality and Inflammatory Status of the Epididymis

Author

Duan, Yong-Gang, Zhang, Qiongli, Liu, Yuchen, Mou, Lisha, Li, Gang, Gui, Yaoting, Cai, Zhiming, Duan, Yong-Gang, Zhang, Qiongli, Liu, Yuchen, Mou, Lisha, Li, Gang, Gui, Yaoting, and Cai, Zhiming

Abstract

Objective: To determine whether dendritic cells (DCs) are present in semen and whether their abundance and activation correlate with sperm quality and inflammatory status of the male genital tract. Design: In vitro prospective study. Setting: University hospital laboratory. Patient(s): Eighty infertile men and twelve control fertile men were enrolled in this study. Intervention(s): None. Main Outcome Measure(s): The percentages of DCs, intracellular staining of cytokines, and spermatozoa DNA fragmentation index were assessed by flow cytometry. Seminal cytokines, neutral alpha-glucosidase, zinc, and fructose were measured with commercial kits. Result(s): A significant number of CD11c+HLA-DR+DCs were detected in ejaculates from patients with chronic inflammation of genital tract, which was negatively correlated with spermatozoa motility, vitality, and DNA integrity. Intracellular staining of cytokines of seminal DCs showed enhanced ability to secrete inflammatory cytokines (interleukin [IL] 23p19, tumor necrosis factor [TNF]-related apoptosis-inducing ligand [TRAIL], and TNF-alpha). Furthermore, a significant correlation was found between DCs and the seminal concentrations of IL-6, IL-17, IL-23, TRAIL, and neutral alpha-glucosidase, the marker of epididymal function, in the inflammatory group but not in the noninflammatory and fertile groups. Conclusion(s): The abundance and activation of seminal DCs of infertile men may be closely associated with poor epididymal function and sperm quality. (Fertil Steril (R) 2014; 101: 70-7. (C) 2014 by American Society for Reproductive Medicine.)

Published
2014

9. Optical OFDMA with dynamic sub-carrier allocation enabled flexible and scalable metro-access integrated networks.

Author

Zhang, Qiongli, Zhang, Chongfu, Chen, and Qiu, Kun

Abstract

We demonstrate a novel OFDMA-based metro-access integrated network with dynamic subcarrier allocation. This system transparently integrates metropolitan area network and optical access network, by implementing scalable ring network, flexible power distribution and on-demand resource allocation. [ABSTRACT FROM PUBLISHER]

Published
2012

11. Construction of protein profile classification model and screening of proteomic signature of acute leukemia.

Author

Xu Y, Zhuo J, Duan Y, Shi B, Chen X, Zhang X, Xiao L, Lou J, Huang R, Zhang Q, Du X, Li M, Wang D, and Shi D

Subjects
Adult, Case-Control Studies, Computational Biology, Decision Trees, Female, Humans, Leukemia, Myeloid, Acute classification, Leukemia, Myeloid, Acute pathology, Leukemia, Promyelocytic, Acute classification, Leukemia, Promyelocytic, Acute pathology, Male, Precursor Cell Lymphoblastic Leukemia-Lymphoma classification, Precursor Cell Lymphoblastic Leukemia-Lymphoma pathology, Predictive Value of Tests, Prognosis, Reproducibility of Results, Software Validation, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Biomarkers, Tumor analysis, Leukemia, Myeloid, Acute metabolism, Leukemia, Promyelocytic, Acute metabolism, Neoplasm Proteins analysis, Precursor Cell Lymphoblastic Leukemia-Lymphoma metabolism, Protein Array Analysis, Proteomics methods
Abstract

The French-American-British (FAB) and WHO classifications provide important guidelines for the diagnosis, treatment, and prognostic prediction of acute leukemia, but are incapable of accurately differentiating all subtypes, and not well correlated with the clinical outcomes. In this study, we performed the protein profiling of the bone marrow mononuclear cells from the patients with acute leukemia and the health volunteers (control) by surface enhanced laser desorption/ionization-time of flight mass spectrometry (SELDI_TOF_MS). The patients with acute leukemia were analyzed as unitary by the profiling that were grouped into acute promyelocytic leukemia (APL), acute myeloid leukemia-granulocytic (AML-Gran), acute myeloid leukemia-monocytic (AML-Mon) acute lymphocytic leukemia (ALL), and control. Based on 109 proteomic signatures, the classification models of acute leukemia were constructed to screen the predictors by the improvement of the proteomic signatures and to detect their expression characteristics. According to the improvement and the expression characteristics of the predictors, the proteomic signatures (M3829, M1593, M2121, M2536, M1016) characterized successively each group (CON, APL, AML-Gra, AML-Mon, ALL) were screened as target molecules for identification. Meanwhile, the proteomic-based class of determinant samples could be made by the classification models. The credibility of the proteomic-based classification passed the evaluation of Biomarker Patterns Software 5.0 (BPS 5.0) scoring and validated application in clinical practice. The results suggested that the proteomic signatures characterized by different blasts were potential for developing new treatment and monitoring approaches of leukemia blasts. Moreover, the classification model was potential in serving as new diagnose approach of leukemia.

Published
2014

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