2009
DOI: 10.1016/j.neulet.2009.07.056
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Serum biomarkers of vascular cognitive impairment evaluated by bead-based proteomic technology

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Cited by 14 publications
(11 citation statements)
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“…A relationship between apolipoproteins and the development of pulmonary arterial hypertension in sickle cell disease was established by MALDI (Yuditskaya et al, 2009). Peptides from trace-amine associated receptor 6 (TAAR6) were reported to differ between control and vascular cognitive impairment (Xi et al, 2009). The identification and one-way ANOVA analysis of fragments from serum by MALDI were prognostic of melanoma survival .…”
Section: E Analysis Of Identified Polypeptidesmentioning
confidence: 99%
“…A relationship between apolipoproteins and the development of pulmonary arterial hypertension in sickle cell disease was established by MALDI (Yuditskaya et al, 2009). Peptides from trace-amine associated receptor 6 (TAAR6) were reported to differ between control and vascular cognitive impairment (Xi et al, 2009). The identification and one-way ANOVA analysis of fragments from serum by MALDI were prognostic of melanoma survival .…”
Section: E Analysis Of Identified Polypeptidesmentioning
confidence: 99%
“…(2008) have identified, by means of a proteomic approach, plasma haptoglobin as a possible therapeutic marker in the early stages of stroke in spontaneously hypertensive stroke‐prone rats. Xi et al. (2009) used a proteomic approach to identify novel plasma biomarkers that could contribute to a better understanding of the processes involved in vascular cognitive impairment.…”
Section: Discussionmentioning
confidence: 99%
“…There are several advantages to the serum MS profiling described here, especially compared with more labor intensive and technically challenging assays, such as immunohistochemistry, fluorescence in situ hybridization, and PCR, due to the unavailability of high-quality tumor specimens and intratumoral heterogeneity [8,9]. LC-MS/MS has shown promise in biomarker discovery and proved to be a useful method for detection of low abundance proteins [10], potentially allowing the selection of patients who may benefit from such therapies. Early studies using MS to develop proteomic profiles from patient serum, coupled with advanced data mining algorithms had triggered hopes that this technology could be used for cancer diagnosis, prognosis, and disease/treatment monitoring.…”
Section: Discussionmentioning
confidence: 99%