Differentiating osteomeatal complex disease and chronic rhinosinusitis from nonallergic rhinitis.
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Publications and source records attributed to Begona Casado.
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BACKGROUND: Chronic Fatigue Syndrome (CFS), Persian Gulf War Illness (PGI), and fibromyalgia are overlapping symptom complexes without objective markers or known pathophysiology. Neurological dysfunction is common. We assessed cerebrospinal fluid to find proteins that were differentially expressed in this CFS-spectrum of illnesses compared to control subjects. METHODS: Cerebrospinal fluid specimens from 10 CFS, 10 PGI, and 10 control subjects (50 mul/subject) were pooled into one sample per group (cohort 1). Cohort 2 of 12 control and 9 CFS subjects had their fluids (200 mul/subject) assessed individually. After trypsin digestion, peptides were analyzed by capillary chromatography, quadrupole-time-of-flight mass spectrometry, peptide sequencing, bioinformatic protein identification, and statistical analysis. RESULTS: Pooled CFS and PGI samples shared 20 proteins that were not detectable in the pooled control sample (cohort 1 CFS-related proteome). Multilogistic regression analysis (GLM) of cohort 2 detected 10 proteins that were shared by CFS individuals and the cohort 1 CFS-related proteome, but were not detected in control samples. Detection of >or=1 of a select set of 5 CFS-related proteins predicted CFS status with 80% concordance (logistic model). The proteins were alpha-1-macroglobulin, amyloid precursor-like protein 1, keratin 16, orosomucoid 2 and pigment epithelium-derived factor. Overall, 62 of 115 proteins were newly described. CONCLUSION: This pilot study detected an identical set of central nervous system, innate immune and amyloidogenic proteins in cerebrospinal fluids from two independent cohorts of subjects with overlapping CFS, PGI and fibromyalgia. Although syndrome names and definitions were different, the proteome and presumed pathological mechanism(s) may be shared.
BACKGROUND: Neuroglobin is a hexacoordinated member of the globin family of proteins. It is predominantly localized to various brain regions and retina where it may play a role in protection against ischemia and nitric oxide-induced neural injury. Cerebrospinal fluid was collected from 12 chronic regional or systemic pain and 5 control subjects. Proteins were precipitated by addition of 50% 0.2 N acetic acid, 50% ethanol, 0.02% sodium bisulfite. The pellet was extensively digested with trypsin. Peptides were separated by capillary liquid chromatography using a gradient from 95% water to 95% acetonitrile in 0.2% formic acid, and eluted through a nanoelectrospray ionization interface into a quadrapole - time-of-flight dual mass spectrometer (QToF2, Waters, Milford, MA). Peptides were sequenced (PepSeq, MassLynx v3.5) and proteins identified using MASCOT (R). RESULTS: Six different neuroglobin peptides were identified in various combinations in 3 of 9 female pain subjects, but none in male pain, or female or male control subjects. CONCLUSION: This is the first description of neuroglobin in cerebrospinal fluid. The mechanism(s) leading to its release in chronic pain states remain to be defined.
Human urine plays a central role in clinical diagnostic being one of the most-frequently used body fluid for detection of biological markers. Samples from patients with different diseases display patterns of biomarkers that differ significantly from those obtained from healthy subjects. The availability of fast, reproducible, and easy-to-apply analytical techniques that would allow identification of a large number of these analytes is thus highly desiderable since they may provide detailed information about the progression of a pathological process. From among the variety of methods so far applied for the determination of urinary metabolites, capillary electrophoresis, both in the capillary zone electrophoresis (CZE) and micellar electrokinetic chromatography (MEKC) modes, represents a robust and reliable analytical tool widely used in this area. The aim of the present article is to focus the interest of the reader on recent applications of MEKC and CZE in the field of urinary biomarkers and to discuss advantages and/or limitations of each mode.
The nasal lavage fluids (NLFs) from four subjects with acute sinusitis were analyzed to investigate the amount of proteins expressed in this pathology at the beginning of the event (day 1) and after 6 days of treatment with antibiotics and a nasal steroid spray. The protein identification was performed with capillary liquid chromatography-electrospray-quadrupole time of flight-(LC-ESI-Q-TOF)-mass spectrometry. The samples collected on the first day contained high-abundant plasma proteins, such as albumin and immunoglobulins, glandular serous cell proteins (lysozyme, lactoferrin, and polymeric immunoglobulin receptor), epithelial keratins, and inflammatory cell proteins (myeloperoxidase, IL-16, and IL-17E). After six days of therapy, the complexity of the proteome was reduced to plasma proteins and lysozyme with no inflammatory markers. The presence of hemoglobin, however, suggested that significant squamous metaplasia with breaches in the epithelial barrier, or nasal steroid-related bleeding, had occurred. The proteomic approach presented here allowed us to identify, in the high complexity of acute sinusitis nasal secretions, the proteins that respond to a pharmacological treatment and that could be suitable as markers of this pathology.
OBJECTIVE: On July 9, 2003, the National Institutes of Health (NIH) released a new program announcement entitled "Proteomics in Auditory and Developmental Disease Processes." This initiative makes it clear that proteomic analysis in otology is a multi-year research priority for the NIH. The goal of this article is to describe the mechanics of modern proteomic techniques and review their applications in otology to date. DATA SOURCES: General articles from the proteomic literature were used to construct a review of modern proteomic techniques. For literature on proteomics in otology, MEDLINE and CRISP databases were searched by various topics in otology and cross-referenced with principle proteomic technologies. STUDY SELECTION: The criterion for selection was any study in otology that employs proteomic technology. CONCLUSIONS: Incredible progress has been made in proteomic technology. However, modern proteomic techniques are currently underutilized in otologic research. The NIH proteomics initiative referenced above, in combination with an understanding of the basic tools of modern proteomic science, should help motivate otologists to discover innovative ways to apply modern proteomic techniques to specific problems in otology.