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Biomedical subjects

Martin McIntosh

Publications and source records attributed to Martin McIntosh.

3 recordsLinked to original sources

The HE4 (WFDC2) protein is a biomarker for ovarian carcinoma.

The WFDC2 (HE4) gene is amplified in ovarian carcinomas, whereas its expression in normal tissues, including ovary, is low. Although the function of the HE4 protein is unknown,it is a member of a family of stable 4-disulfide core proteins that are secreted at high levels. We therefore performed experiments to explore whether quantitation of HE4 protein levels in serum can be used as a biomarker for ovarian carcinoma. A fusion gene was constructed encoding the HE4 protein fused to a gene encoding the murine IgG2a Fc domain. Subsequently, protein produced in mammalian cells was purified by affinity chromatography and used to immunize mice to generate hybridomas specific for HE4. Hybridoma supernatants were screened for binding to a similar fusion protein that, instead, had a human immunoglobulin tail. Two hybridomas, 2H5 and 3D8, were selected that produce monoclonal antibodies to different HE4 epitopes, and a double determinant ("Sandwich") ELISA was constructed and shown to detect a signal at the 160-pg level. Blinded studies on sera from postmenopausal patients with ovarian carcinoma and controls indicate that the specificity and sensitivity of the HE4-based ELISA is equivalent to that of the CA125 assay. However, the HE4 assay may have an advantage over the CA125 assay in that it is less frequently positive in patients with nonmalignant disease.

Biomarkers, Tumor↗

The case for early detection.

Early detection represents one of the most promising approaches to reducing the growing cancer burden. It already has a key role in the management of cervical and breast cancer, and is likely to become more important in the control of colorectal, prostate and lung cancer. Early-detection research has recently been revitalized by the advent of novel molecular technologies that can identify cellular changes at the level of the genome or proteome, but how can we harness these new technologies to develop effective and practical screening tests?

Biomarkers, Tumor↗

The effects of physical and emotional status on adherence to a low-fat dietary pattern in the Women's Health Initiative.

OBJECTIVE: To examine whether the effects of physical and emotional status on adherance to a low-fat (20% energy) dietary pattern are mediated by participation in an intervention program (attending sessions and self-monitoring). DESIGN: The Baron and Kenny mediator model, a series of 4 regression analyses, was used to evaluate whether: a) physical and emotional status predicted program participation, b) program participation predicted dietary adherence, c) physical and emotional status factors predicted dietary adherence, and, ultimately d) the effects of physical and emotional status on dietary adherence were mediated by program participation. SUBJECTS/SETTING: Data from 13,277 postmenopausal women randomly assigned to the low-fat intervention arm of the Women's Health Initiative Dietary Modification Trial. INTERVENTION: The nutrition goals for women randomly assigned to the low-fat intervention were to reduce total fat intake to 20% or less of energy from fat and to consume 5 or more fruit/vegetable servings daily and 6 or more grain servings daily. MAIN OUTCOME MEASURES: Year 1 program participation (degree of attending group sessions and submitting fat scores) and adherence to the low-fat dietary pattern (percent energy from fat) as predicted by baseline physical and emotional status (eight SF-36 Health Survey subscales). RESULTS: Participating in the dietary intervention program reduced (mediated) the negative effect of poorer mental health on dietary adherence by 15%. Additional findings included that a 10% increase in physical functioning increased session attendance by 0.4% (P<.001) and a 10% increase in mental health predicted a decrease in percent energy from fat of 0.3% (P<.001). Program participation had a marked effect on dietary adherence: a 10% increase in session attendance predicted a 1.2% decrease in percent energy from fat (P<.001). APPLICATIONS/CONCLUSIONS: Understanding and using instruments to assess the physical and emotional status of a target population will help dietetic professionals promote healthful dietary change and maintenance.

Adult↗