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Articles by A Lin
Total Records ( 3 ) for A Lin
  S. E Weigum , P. N Floriano , S. W Redding , C. K Yeh , S. D Westbrook , H. S McGuff , A Lin , F. R Miller , F Villarreal , S. D Rowan , N Vigneswaran , M. D Williams and J. T. McDevitt

Oral cancer is a deadly and disfiguring disease that could greatly benefit from new diagnostic approaches enabling early detection. In this pilot study, we describe a nano-bio-chip (NBC) sensor technique for analysis of oral cancer biomarkers in exfoliative cytology specimens, targeting both biochemical and morphologic changes associated with early oral tumorigenesis. Here, oral lesions from 41 dental patients, along with normal epithelium from 11 healthy volunteers, were sampled using a noninvasive brush biopsy technique. Specimens were enriched, immunolabeled, and imaged in the NBC sensor according to previously established assays for the epidermal growth factor receptor (EGFR) biomarker and cytomorphometry. A total of 51 measurement parameters were extracted using custom image analysis macros, including EGFR labeling intensity, cell and nuclear size, and the nuclear-to-cytoplasmic ratio. Four key parameters were significantly elevated in both dysplastic and malignant lesions relative to healthy oral epithelium, including the nuclear area and diameter (P < 0.0001), the nuclear-to-cytoplasmic ratio (P < 0.0001), and EGFR biomarker expression (P < 0.03). Further examination using logistic regression and receiver operating characteristic curve analyses identified morphologic features as the best predictors of disease (area under the curve ≤0.93) individually, whereas a combination of all features further enhanced discrimination of oral cancer and precancerous conditions (area under the curve, 0.94) with high sensitivity and specificity. Further clinical trials are necessary to validate the regression model and evaluate other potential biomarkers, but this pilot study supports the NBC sensor technique as a promising new diagnostic tool for early detection of oral cancer, which could enhance patient care and survival. Cancer Prev Res; 3(4); 518–28. ©2010 AACR.

  A Lin , J Qian , X Li , X Yu , W Liu , Y Sun , N Chen , C Mei and for the Icodextrin National Multi center Cooperation Group

Background and objectives: While peritoneal dialysis with icodextrin is commonly used in patients with poor peritoneal membrane characteristics, the data on the usefulness of this solution in patients with lower transport characteristics are limited. The study was designed to compare icodextrin to glucose in Chinese prevalent peritoneal dialysis patients of different peritoneal transport characteristics (PET) categories.

Design, setting, participants, & measurements: This was a randomized, double-blind, perspective control study. Stable prevalent continuous ambulatory peritoneal dialysis (CAPD) patients were randomized to either 7.5% icodextrin (ICO) or 2.5% glucose (GLU) solution for 4 wk. Peritoneal membrane function was measured to define PET category in baseline. Creatinine clearance (Ccr), urea nitrogen clearance (CBUN), ultrafiltration (UF) during the long night dwell, dialysate, and metabolic biomarkers were measured at baseline, 2, and 4 wk. UF, Ccr, and CBUN were compared among different PET categories.

Results: A total of 201 CAPD patients were enrolled in the study. There were no baseline differences between the groups. Following 2 and 4 wk of therapy, Ccr, CBUN, and UF were all significantly higher in the ICO versus the GLU group. Additionally, switching to ICO resulted in a significant increase in UF in high, high-average, and low-average transporters as compared with baseline. The extent of increased UF was more obvious in higher transporters. Blood cholesterol level in the ICO group decreased significantly than that in the GLU group.

Conclusion: Compared with glucose-based solution, 7.5% icodextrin significantly improved UF and small solute clearance, even in patients with low-average peritoneal transport.

  A Lin , R. T Wang , S Ahn , C. C Park and D. J. Smith

Using radiation hybrid genotyping data, 99% of all possible gene pairs across the mammalian genome were tested for interactions based on co-retention frequencies higher (attraction) or lower (repulsion) than chance. Gene interaction networks constructed from six independent data sets overlapped strongly. Combining the data sets resulted in a network of more than seven million interactions, almost all attractive. This network overlapped with protein–protein interaction networks on multiple measures and also confirmed the relationship between essentiality and centrality. In contrast to other biological networks, the radiation hybrid network did not show a scale-free distribution of connectivity but was Gaussian-like, suggesting a closer approach to saturation. The radiation hybrid (RH) network constitutes a platform for understanding the systems biology of the mammalian cell.

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