Disease Specific Biomarkers of Abdominal Aortic Aneurysms Detected by Surface Enhanced Laser Desorption Ionization Time of Flight Mass Spectrometry

Ehsan, Saima; Choke, Edward; Molyneux, Karen; London, N. J. M.; Herbert, Karl E.; Barratt, Jonathan; Sayers, Robert D.; Bown, Matthew J.

doi:10.1016/j.ejvs.2012.04.018

Cited by 8 publications

(7 citation statements)

References 3 publications

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“…If the oral cancer was found at early stages of development, it has an 80 to 90% survival rate. Unfortunately, most of these cancers are hard to discover in the early stages because of a lack of public awareness and screening method, which would generally result in a poor prognosis and a low survival rate 4 .…”

mentioning

confidence: 99%

The early diagnosis and monitoring of squamous cell carcinoma via saliva metabolomics

Wang

Gao

Wang

et al. 2014

Sci Rep

136

105

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Early diagnosis of oral squamous cell carcinoma (OSCC) is an attractive strategy to increase survival rate of patient. An integrated separation approach of reversed phase liquid chromatography and hydrophilic interaction chromatography combining with time of flight mass spectrometer has been firstly developed for performing global saliva metabonomics analysis for early diagnosis of OSCC. This approach was designed to overcome the limitations of a single chromatographic method due to different polarity of endogenous metabolites. As a result, 14 potential salivary metabolites were identified. Eight biomarkers up-regulated in OSCC patients are compared with control and six down-regulated groups. Receiver operating characteristic analysis was exploited to evaluate the diagnostic power of the candidate biomarkers, and related metabolic pathways have also been studied. Five salivary biomarkers (propionylcholine, N-Acetyl-L-phenylalanine, sphinganine, phytosphingosine, and S-carboxymethyl-L-cysteine) in combination yielded satisfactory accuracy (AUC = 0.997), sensitivity (100%), and specificity (96.7%) in distinguishing early stage of OSCC from the control. In this study, a comprehensive saliva metabonomics analysis for identifying potential biomarkers to early diagnose OSCC is successfully demonstrated, which has the advantages of non-invasive, simple, reliable, and low-cost. These novel metabolic biomarkers have obvious clinical utility that will help to diagnose OSCC at its early stage.

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mentioning

confidence: 99%

The early diagnosis and monitoring of squamous cell carcinoma via saliva metabolomics

Wang

Gao

Wang

et al. 2014

Sci Rep

136

105

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“…Two protease inhibitors, α-1-antitrypsin (SERPINA1) and kallistatin (SERPINA4), have been newly identified as potential biomarkers [ 23 – 27 ]. Furthermore, PRDX1, CAT and HP are involved in redox regulation, or are antioxidant proteins, and were detected as possible biomarker candidates from the red blood cell membrane, cultured macrophages, and the serum or plasma of AAA patients [ 24 , 26 , 28 – 31 ].…”

Section: Abdominal Aortic Aneurysm and Biomarker Search Using Blood Smentioning

confidence: 99%

Proteomic analysis in cardiovascular research

Oda

Matsumoto

2015

Surg Today

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Advances in mass spectrometry technology and bioinformatics using clinical human samples have expanded quantitative proteomics in cardiovascular research. There are two major proteomic strategies: namely, “gel-based” or “gel-free” proteomics coupled with either “top-down” or “bottom-up” mass spectrometry. Both are introduced into the proteomic analysis using plasma or serum sample targeting ‘biomarker” searches of aortic aneurysm and tissue samples, such as from the aneurysmal wall, calcific aortic valve, or myocardial tissue, investigating pathophysiological protein interactions and post-translational modifications. We summarize the proteomic studies that analyzed human samples taken during cardiovascular surgery to investigate disease processes, in order to better understand the system-wide changes behind known molecular factors and specific signaling pathways.

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“…The list of these proteins is reported in Supplementary Table 3. Fibrinogen gamma-chain FIBG_HUMAN [28,32,34] To determine the importance of inflammatory response in causing hemodynamic instability in the early postoperative period after AAA surgery, we performed a study to define the plasma proteomic changes after AAA repair [34]. We observed an enhanced thrombin expression at 6 h after declamping.…”

Section: Go:0006955 Immune Responsementioning

confidence: 99%

“…They identified in AAA subjects four serum proteins that showed altered expression profile and that could be specifically linked to AAA pathology. A recent research, conducted by Ehsan et al [32], showed that surface enhanced laser desorption ionization time of flight (SELDI-TOF) can be used to study the plasma protein expression of AAA. They identified a plasma protein profile that could classify patients from a mixed population group.…”

Section: Go:0006955 Immune Responsementioning

confidence: 99%

“…Multiple proteins (serum elastin peptides and plasmin-antiplasmin complexes, MMP-9, interferongamma, C-reactive protein, alpha 1-antitrypsin and lipoprotein, APC-PCI (Activated protein C-protein C inhibitor) complex and IL-6) have been suggested as biomarkers or risk factors for AAA. However, none has been independently validated, or checked for its potential clinical use [32]. After the removal of aneurysmal tissues in AAA, and thoracic aortic aneurysm (TAA), Satoh et al [33] compared serum proteins showing different level of expression in post-surgery with those in presurgery, in order to identify potential serum biomarkers for AAAs and TAAs.…”

Section: Go:0006955 Immune Responsementioning

confidence: 99%

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Using Proteomics to Understand Abdominal Aortic Aneurysms: Where Are We?

Gamberi¹,

Aless²,

Modesti³

et al. 2016

J Proteomics Bioinform

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Disease Specific Biomarkers of Abdominal Aortic Aneurysms Detected by Surface Enhanced Laser Desorption Ionization Time of Flight Mass Spectrometry

Abstract: This study discovered a signature plasma protein profile for patients with AAA and demonstrated that mass spectrometric based research for disease specific biomarker of AAA is feasible.

Cited by 8 publications

References 3 publications

The early diagnosis and monitoring of squamous cell carcinoma via saliva metabolomics

The early diagnosis and monitoring of squamous cell carcinoma via saliva metabolomics

Proteomic analysis in cardiovascular research

Using Proteomics to Understand Abdominal Aortic Aneurysms: Where Are We?

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