Biomedical subjects

Jordan Silberman

Publications and source records attributed to Jordan Silberman.

4 recordsLinked to original sources

PubMed2006

Label-free semiquantitative peptide feature profiling of human breast cancer and breast disease sera via two-dimensional liquid chromatography-mass spectrometry.

A label-free semiquantitative peptide feature profiling method was developed in response to challenges associated with analysis of two-dimensional liquid chromatography-tandem mass spectrometry data. One hundred twenty human sera (49 from invasive breast carcinoma patients, 26 from non-invasive breast carcinoma patients, 35 from benign breast disease patients, and 10 from normal controls) were repeatedly analyzed using a standardized two-dimensional liquid chromatography-mass spectrometry method. Data were extracted using the novel semiquantitative peptide feature profiling method, which is based on comparisons of normalized relative ion intensities. Hierarchical cluster analyses and principle component analyses were used to evaluate the predicative capability of the extracted data, and results were promising. Extracted data were also randomly assigned to either a training group (65%) or to a test group (35%) for artificial neural network modeling. Models best identified invasive breast carcinomas (212 predictions, 94% accurate) and benign non-neoplastic breast disease (96 predictions, 81.3% accurate). These results suggest that, after further development, the novel method may be useful for large scale clinical proteomic profiling.

Breast Diseases↗

PubMed2005

Exploring human plasma proteome strategies: high efficiency in-solution digestion protocol for multi-dimensional protein identification technology.

Multi-dimensional protein identification technology (MudPIT) is becoming a prevalent proteomic approach due to its high-throughput separations and accurate mass detection. Prior to MudPIT analysis, complicated samples required in-solution digestion. Unlike in-gel digestion, in which enzymes work on just a few proteins, in-solution digestion involves simultaneous digestion of hundreds or thousands of proteins. In-solution digestion protocols must therefore be very efficient. Few investigations have evaluated the efficiency of in-solution digestion protocols. The present research compared three such protocols. Results suggest that a protocol utilizing trifluoroethanol (TFE) as denaturant is most efficient.

Blood Proteins↗

PubMed2005

Proteomic profiling of human urine using multi-dimensional protein identification technology.

Human urine samples are ideal for proteomic profiling and have tremendous potential as sources of biomarkers. Multi-dimensional protein identification technology (MudPIT) is an effective approach to analyzing human urine or other fluids dominated by diverse metabolites. MudPIT analysis was used to identify 87 proteins in just 15 ml of human urine. A high throughput, reproducible, and sensitive technology, MudPIT may soon be used for more proteomic analyses of metabolites.

Humans↗

PubMed2005

Physician responses to ambiguous patient symptoms.

OBJECTIVE: To examine how primary care physicians respond to ambiguous patient symptom presentations. DESIGN: Observational study, using thematic analysis within a larger cross-sectional study employing standardized patients (SPs), to describe physician responses to ambiguous patient symptoms and patterns of physician-patient interaction. SETTING: Community-based primary care offices within a metropolitan area. PARTICIPANTS: Twenty-three primary care physicians (internists and family physicians). METHOD: Participating physicians had 2 unannounced SP visits randomly inserted into their daily practice schedules and the visits were audiotaped and transcribed. A coding system focusing on physician responses to concerned patients presenting with ambiguous symptoms was developed through an inductive process. Thematic analyses were then applied to coded data. RESULTS: Physicians' responses to ambiguous symptoms were categorized into 2 primary patterns: high partnering (HP) and usual care (UC). HP was characterized by greater responsiveness to patients' expression of concern, positivity, sensitivity to patients' clues about life circumstances, greater acknowledgment of symptom ambiguity, and solicitation of patients' perspectives on their problems. UC was characterized by denial of ambiguity and less inclusion of patients' perspectives on their symptoms. Neither HP physicians nor UC physicians actively included patients in treatment planning. CONCLUSIONS: Primary care physicians respond to ambiguity by either ignoring the ambiguity and becoming more directive (UC) or, less often, by acknowledging the ambiguity and attempting to explore symptoms and patient concerns in more detail (HP). Future areas of study could address whether physicians can learn HP behaviors and whether HP behaviors positively affect health outcomes.

Attitude of Health Personnel↗